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AI Engineer Jobs in Canada

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• *Overview** AI Engineer roles focused on building, deploying, and evaluating AI/ML systems for real-world LLM training pipelines and applied ML products. These are remote, full-time, mid-senior positions spanning NLP, computer vision, and content safety, with strong emphasis on evaluation, data quality, and production reliability.

  • *What You Will Do
  • Design and ship AI/ML features from prototype to production using reproducible training and inference workflows
  • Build evaluation pipelines for LLM evaluation, prompt evaluation, and regression testing
  • Partner with data teams on data labeling strategy, guideline compliance, and training data quality audits
  • Implement QA evaluation and error analysis to drive measurable model performance improvements
  • Develop RLHF-style feedback loops (where applicable) to improve helpfulness, safety, and instruction following
  • Integrate NLP components such as named entity recognition, classification, retrieval-augmented generation, and prompt templates
  • Support computer vision annotation and multimodal iteration when required
  • Monitor production metrics, latency, and drift; document experiments, model cards, and evaluation reports
  • *What We’re Looking For
  • Mid-senior experience delivering production ML systems end-to-end
  • Strong Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, JAX)
  • Hands-on experience with LLMs, NLP, and model evaluation methodologies
  • Understanding of data labeling workflows, QA evaluation, and annotation quality impacts
  • Practical MLOps knowledge (CI/CD for ML, model registries, monitoring)
  • Strong collaboration and communication skills across engineering and data operations
  • *Compensation**

Competitive base pay: $30–$50 per hour (HOURLY). Apply tot his job Apply To this Job

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